ObjectiveTo explore the mechanism by which Tangbikang granules improve diabetic peripheral neuropathy based on ferroptosis mediated by the adenosine monophosphate-activated protein kinase/nuclear factor erythroid 2-related factor 2 （AMPK/Nrf2） signaling pathway. MethodsA diabetes model was established using spontaneous male Zucker diabetic fatty （ZDF） rats. After successful modeling， the rats were divided into a normal group， a model group， high-， medium-， and low-dose Tangbikang granules groups， and a metformin hydrochloride group. The high-， medium-， and low-dose Tangbikang granules groups were administered by gavage at doses of 2.5， 1.25， 0.625 g·kg^-1， respectively. The metformin hydrochloride group received 0.135 g·kg^-1 by gavage， while the remaining groups received an equal volume of deionized water. Administration continued for 12 weeks. Blood glucose levels were measured after administration， and at 4， 8， 12 weeks. Following the 12-week intervention， the thermal pain threshold and the sciatic nerve conduction velocity （SNCV） were measured. The levels of malondialdehyde （MDA）， superoxide dismutase （SOD）， and adenosine triphosphate （ATP） in the sciatic nerve were measured using enzyme-linked immunosorbent assay （ELISA）. Morphological changes in the sciatic nerve were observed using hematoxylin and eosin （HE） staining， and the ultrastructural changes were examined using transmission electron microscopy. The levels of glutathione peroxidase 4 （GPx4） were detected using immunofluorescence （IF） assay. The protein expression levels of p-AMPK， Nrf2， GPx4， and acyl-CoA synthetase long-chain family member 4 （ACSL4） were detected using Western blot. ResultsCompared with the normal group， the model group had significantly higher blood glucose levels after administration and at weeks 4， 8 and 12 （P<0.01）. The thermal pain threshold was significantly prolonged （P<0.01）， and the SNCV was significantly slowed down （P<0.01）. The SOD and ATP levels significantly decreased （P<0.01）， while the MDA levels significantly increased （P<0.01）. Pathologically， the sciatic nerve fibers in the model group showed a dispersed structure， disordered and sparse arrangement， axonal atrophy， irregular myelin sheath halo， increased and swollen Schwann cell nuclei， obvious endoneurial fibrosis， and collagen hyperplasia. Immunofluorescence assay revealed fragmented red fluorescence and significantly reduced expression of GPx4 （P<0.01）. Western blot analysis showed significantly decreased protein expression levels of p-AMPK， Nrf2， and GPx4 （P<0.01）， and significantly increased expression of ACSL4 （P<0.01） in the model group. Compared with the model group， fasting blood glucose level decreased significantly in the high-dose Tangbikang granules group at weeks 4 and 12 （P<0.05）. The thermal pain threshold was significantly shortened in the high- and medium-dose Tangbikang granules groups （P<0.01）. The SNCV was significantly accelerated in the high- and medium-dose Tangbikang granules groups （P<0.01）. The SOD levels were significantly elevated in the high-dose Tangbikang granules group （P<0.01）. The MDA levels significantly decreased in all Tangbikang granules groups （P<0.01）. Both the metformin hydrochloride group and the high-dose Tangbikang granules group exhibited relatively orderly and densely arranged sciatic nerve fibers with more regular myelin sheath halos. The GPx4 expression significantly increased in both the metformin hydrochloride group and all Tangbikang granules groups （P<0.01）. The protein expression levels of p-AMPK， Nrf2， and GPx4 were significantly increased （P<0.01）， while ACSL4 protein expression significantly decreased （P<0.01）. ConclusionTangbikang granules may improve peripheral neuropathy by suppressing ferroptosis through the regulation of the AMPK/Nrf2 signaling pathway.

[摘 要] 目的：探讨lncRNA DLEU2通过EZH2/H3K27me3途径调控IKKα介导甲状腺癌（TC）放射性碘抵抗的作用机制。方法：利用TCGA数据库分析TC中DLEU2的表达及其与EZH2的相关性。构建放射性碘抵抗的TPC-1细胞（RR-TPC-1细胞）模型及裸鼠移植瘤模型，通过敲低或过表达DLEU2（si-DLEU2/OE-DLEU2）、抑制EZH2（UNC1999）、过表达IKKα（OE-IKKα）进行干预，采用qPCR、WB、RIP、ChIP、CCK-8、流式细胞术、TUNEL染色及体内成瘤实验检测基因与蛋白表达、表观修饰、细胞增殖、凋亡及肿瘤生长。结果：TCGA分析显示，DLEU2在TC组织中显著上调（P < 0.001），与患者不良预后相关（P = 0.008 4），且与EZH2表达呈正相关（r = 0.390, P < 0.001）；RIP证实EZH2与DLEU2存在相互作用/结合（P < 0.05）。体外实验表明，敲低DLEU2可显著下调RR-TPC-1细胞中EZH2、IKKα表达及H3K27me3修饰水平，抑制NF-κB通路活化（P < 0.05或P < 0.01），抑制细胞增殖、促进凋亡（均P < 0.05）。联合敲低DLEU2与抑制EZH2进一步增强上述效应，而过表达IKKα则可部分逆转上述效应（P < 0.05或P < 0.01）。体内实验进一步证实，敲低DLEU2联合抑制EZH2可显著抑制移植瘤生长，增加肿瘤细胞凋亡（均P < 0.01）；IKKα过表达则部分逆转上述抗肿瘤效应（P < 0.05或P < 0.01）。结论：lncRNA DLEU2通过招募EZH2催化H3K27me3修饰，间接激活IKKα/NF-κB信号并形成正反馈环路，介导TPC-1细胞131I抵抗。

ObjectiveThis paper aims to observe the syndrome improvement and negative antigen conversion rate of Qingxuan Daozhi formula in the treatment of influenza in children （heat accumulation in the lung and stomach syndrome）. MethodsThrough a multi-center randomized controlled methodology design，confirmed influenza cases were collected from October 2022 to April 2023 in the pediatrics department of eight hospitals，such as Dongfang Hospital of Beijing University of Chinese Medicine. A total of 180 children with influenza and heat accumulation in the lung and stomach syndrome conforming to the standard were recruited through the clinic. The sick children meeting the inclusion criteria were randomly divided into groups by a block-randomized method. The children in the experimental group were treated with Qingxuan Daozhi formula for five days，and those in the control group were treated with Oseltamivir Phosphate Granules for five days. The primary efficacy indicator was the negative conversion rate of influenza antigen detection. Secondary efficacy indicators were the Canadian acute respiratory illness and flu scale （CARIFS） and the incidence of complications，severe cases， and critical cases. Follow-up observation was conducted on the day of enrollment，48 hours after medication，72 hours after medication， and （6+1） d after medication. ResultsOne hundred and eighty participants were randomly assigned to the experimental group （90 cases） or the control group （90 cases）. All participants were followed up during the study. Comparison of influenza antigen detection results in the primary efficacy indicators showed that the average time of negative influenza antigen conversion in the experimental group was （5.29±1.25） d，and that in the control group was （5.40±1.68） d，without a statistically significant difference. After five days of intervention，52 cases in the experimental group and 51 cases in the control group converted to negative，without a statistically significant difference. CARIFS score results in the secondary efficacy indicators showed that during 72 hours after intervention，there were statistically significant differences between the experimental group and the control group in three dimensions， including headache，muscle soreness， and the need for extra care （P<0.05）. On the （6+1） days after the intervention，the differences in both the experimental group and the control group were statistically significant in 10 dimensions， including sore throat，bad sleep，uncomfortable feeling，poor spirit and fatigue，crying more than usual，the need for extra care，symptom，function，influence on parents，and total score （P<0.05）. The comparison results within the group in the dimensional scores of symptom， function， and influence on parents，as well as the CARIFS total score showed that with the delay of follow-up time，scores of both groups decreased significantly，with a statistically significant difference （P<0.01）. Inter-group comparison results showed that the mean score of the experimental group was higher than that of the control group at the time of enrollment. With the progress of intervention，the score of the experimental group was significantly decreased compared with that of the control group. At the end of follow-up，the mean score of the experimental group was lower than that of the control group，with no statistically significant difference. In terms of the incidence of complications，severe cases， and critical cases， there were no complications，severe cases， and critical cases in the two groups，without a statistically significant difference. ConclusionThe symptom improvement effect and negative antigen conversion rate of Qingxuan Daozhi formula in the treatment of influenza in children （heat accumulation in the lung and stomach syndrome） are not inferior to Oseltamivir Phosphate granules， and children's acceptance is better. It can be more widely used in clinical treatment of influenza in children （heat accumulation in the lung and stomach syndrome）.

The digitization of traditional Chinese medicine (TCM) has generated vast amounts of data. However, these data are characterized by significant heterogeneity and complex semantic structures, posing substantial challenges for systematic integration and intelligent analysis, and limiting its potential for modern clinical and computational research. To address the challenges posed by the high heterogeneity and complex structure in TCM data, we designed and developed the TCM Data Hub platform, which is powered by the YiYuan large language models (LLMs). This platform aims to enhance intelligent data processing capabilities and unlock the potential for clinical application of TCM data through systematic integration and efficient utilization, thereby bridging the gap between traditional knowledge and modern computational research. This study first analyzed the heterogeneity and complexity of TCM information with respect to data types, structures, and semantics. A standardized data framework was constructed to enhance data integration and interoperability. Based on the TCM Intelligent Computing Platform of the China Academy of Chinese Medical Sciences, we trained the YiYuan LLMs to acquire domain-specific semantic understanding of TCM, thereby improving the platform’s comprehension of specialized terminology and knowledge systems. Leveraging the natural language processing capabilities of the LLMs, we developed a human-in-the-loop data processing system to enable efficient extraction, cleansing, and structured organization of TCM data. In addition, utilizing Vue and Java technologies, we developed multiple LLM-powered intelligent agents and systems, including a human-in-the-loop data processing system, as well as automated prescription mining and network pharmacology analysis agents. Task-specific agents tailored to TCM data processing were developed to enhance the model’s effectiveness in clinical knowledge discovery. System functionality and platform infrastructure were implemented using Java and Vue technologies.The TCM Data Hub platform has completed system construction and core functionality implementation. It supported integrated management and efficient access to 8 key types of TCM data: prescriptions, materia medica, ingredients, targets, diseases (Western medicine), diseases (TCM), syndromes, and therapeutic methods. The human-in-the-loop data processing system achieved an accuracy of 95.34% in structuring TCM data and supported annotation for data requiring manual labeling. The intelligent agent-driven big-data analytics module enabled 1-click, end-to-end workflows for TCM prescription mining, herb-syndrome association analysis, network pharmacology, and molecular biology research, completing a full data mining task in approximately 30 minutes. Users can interact with and manipulate data through a visual front-end interface. The system demonstrated stable performance, strong scalability, and a user-friendly experience. Empowered by the YiYuan LLMs, the TCM Data Hub platform significantly improves the accessibility, usability, and intelligence of TCM data. It effectively bridges traditional TCM knowledge with modern intelligent technologies, providing robust data support and intelligent tools for TCM research and clinical applications.

Objective To establish a stable liquid chromatography-tandem mass spectrometry(LC-MS/MS)method for detecting gamma-aminobutyric acid(GABA)in plasma,and to evaluate the value of GABA detection in the diagnosis of sleep disorders.Methods GABA was detected using a UPLC Xevo TQs system.The method was pre-validated and its performance was verified to establish a reference range for healthy individuals.The difference in plasma GABA levels between apparently healthy individuals and patients with sleep disorders was compared.Results We employed deuterated compounds as isotopic internal standards and utilized an Amide chromatographic column for separation.The mobile phase was 0.050%formic acid in water and 90%acetonitrile in water containing 0.175%formic acid and 5 mmol/L ammonium acetate with gradient elution in the column temperature of 35℃.The linear range for the detection of GABA by LC-MS/MS was 0.05-10.00 μmol/L,with a lower limit of quantification of 0.02 μmol/L,the inter-day CV<3.00%and intra assay CV<4.00%,respectively,and the recovery rate was 101.06%-109.02%.The reference ranges for plasma GABA were established by analyzing 300 healthy controls stratified by age:18-34 years(0.08-0.15 μmol/L),35-49 years(0.10-0.20 μmol/L),and≥50 years(0.12-0.23 μmol/L).Then plasma GABA was used as a biomarker for auxiliary diagnosis of sleep disorders in analyzing 221 patients and 300 healthy controls,which revealed that AUC values were 0.510(P=0.850),0.686(P=0.002),and 0.890(P<0.001)in the groups of 18-34 years,35-49 years,and≥50 years,respectively,with optimal cut-off values of 0.09,0.10 and 0.11 μmol/L.Conclusion A reliable LC-MS/MS method for detecting GABA has been established,which can detect plasma GABA levels sensitively and accurately and can be used in assisting the clinical diagnosis of sleep disorders.

AIM:To investigate the antitumor activity and targets of baicalein(Bai)in pancreatic cancer using network pharmacology combined with in vitro and in vivo experiments.METHODS:The targets of Bai and pancreatic can-cer were analyzed via multi-data screening.A protein-protein interaction network was constructed using STRING,and core targets were identified via Cytoscape.Functional enrichment was analyzed by Gene Ontology(GO)and Kyoto Ency-clopedia of Genes and Genomes(KEGG).Antitumor effects of Bai were assessed in pancreatic cancer cells Aspc-1 and Bxpc-3 using MTT and colony formation assays for proliferation,flow cytometry for apoptosis and cell cycle analysis,and Transwell assays for migration and invasion.A xenograft tumor model was established to evaluate tumor proliferation,im-munohistochemistry was performed to detect the protein expression of AKT in tumor tissues,and Western blot was used to analyze the expression levels of AKT,β-catenin,N-cadherin and Slug.RESULTS:A total of 108 overlapping targets were identified between Bai and pancreatic cancer.Among these,7 core targets were recognized,including proto-onco-gene tyrosine-protein kinase Src,heat shock protein 90 alpha family class A member 1(HSP90AA1),estrogen receptor 1(ESR1),tumor protein p53(TP53),epidermal growth factor receptor(EGFR),AKT1,and mitogen-activated protein ki-nase 3(MAPK3).The GO analysis revealed significant enrichment in oxidative stress response,protein phosphorylation,and serine/threonine kinase activity.The KEGG analysis primarily enriched the PI3K/AKT,MAPK and Ras signaling pathways.The MTT and colony formation assays showed that Bai inhibited the viability of Aspc-1 and Bxpc-3 cells in a dose-dependent manner(72 h IC50 values were 73.6 μmol/L and 83.4 μmol/L,respectively)and reduced cell colony for-mation(P<0.05 or P<0.01).Flow cytometry confirmed that Bai induced apoptosis of Aspc-1 and Bxpc-3 cells(P<0.01)and blocked the cell cycle at the G0/G1 phase(P<0.05 or P<0.01).Transwell experiments indicated that Bai inhibited the migration and invasion of Aspc-1 and Bxpc-3 cells(P<0.05 or P<0.01).In vivo,Bai significantly inhibited the growth of Aspc-1 cell xenograft tumors(P<0.01).Immunohistochemistry revealed a significant reduction in AKT expression in tu-mor tissues(P<0.01),and Western blot showed decreased expression of AKT,β-catenin,N-cadherin and Slug in both Aspc-1 and Bxpc-3 cells(P<0.01).CONCLUSION:Baicalein inhibits pancreatic cancer cell proliferation,migration,and invasion,potentially through down-regulation of AKT,β-catenin,N-cadherin,and Slug expression.

Objective To analyze the CT manifestations of high altitude pulmonary edema(HAPE)to provide radiological evidence for its early and accurate diagnosis.Methods Totally 200 HAPE patients clinically confirmed at some hospital from April 2021 to April 2024 were enrolled into a study group,and 56 individuals undergoing health examinations at the hospital's physical examination center between January and June 2023 were included into a control group.Examinations were carried out with a United Imaging uCT528 40-slice spiral CT scanner.The patients in the study group were observed in terms of HAPE staging,the extent of pulmonary involvement,CT manifestations of different stages including location,distribution,density and morphology of pulmonary lesion.The diameters of the main pulmonary arteries and ascending aortas of the subjects in the two groups were measured,and the ratios of the two diameters were calculated.SPSS 25.0 software was used for statistical analysis.Results In the study group,there were 26 cases(13.0%)at early stage,105 ones at progression stage(52.5%),32 ones at critical outbreak stage(16.0%)and 37 ones at resolution and absorption stage(18.5%),and there were 35.5%with unilateral lung involvement and 64.5%with bilateral involvement.At early stage,HAPE chest CT manifestations included increased and thickened bilateral bronchovascular bundles,widened main pulmonary artery lumen and faint ground-glass opacity in lungs;at progression stage,HAPE chest CT manifestations revealed multiple cloud-like or patchy areas of increased density within lungs;at critical outbreak stage,CT scanning indicated diffuse patchy opacities and consolidation in lungs,white lung-like changes could be found in some severe cases,and bronchial air signs were shown within affected segments in some ones with severer signs in the right lung than in the left lung;at resolution and absorption stage the CT manifestations were similar to those at early stage,with lesions completely resolving after treatment.The study group had the diameters of the main pulmonary arteries greater while the diameters of the ascending aortas less than those of the control group,and the ratios of the diameters of the two diameters in the study group were higher than those in the control group,with the differences being statistically significant(all P<0.05).Conclusion Chest CT is an important examination method for the early diagnosis of HAPE and clarification of its clinical staging,which directly reflects the pulmonary pathological changes in HAPE patients and helps doctors fully understand the disease progression.

Objective:The influencing factors of intraoperative hypoxemia in patients with benign central airway stenosis were investigated by machine learning algorithm, and the prediction model of hypoxemia was constructed and verified.Methods:A case-control study was used in this study. The clinical data of 650 patients with benign central airway stenosis who who received surgical treatment in the First Affiliated Hospital of PLA Naval Medical University from June 2022 to April 2024 were retrospectively analyzed. And they were divided into a training set ( n=455) and a test set ( n=195) according to 7:3. The training set was used for establishing Logistic regression model and conducting internal verification, and the test set was used for external verification. The least absolute shrinkage and selection operator (LASSO) regression and Boruta algorithm were used to select the factors affecting intraoperative hypoxemia in patients with benign central airway stenosis. A Logistic regression prediction model was constructed, and the model was evaluated using area under the receiver operating characteristic curve (AUC), decision curve analysis (DCA) and calibration curve. Shapley additive interpretation (SHAP) were used to analyze the importance of influencing factors. Results:Among 650 patients, 279 were males and 371 were females, aged (37.86 ± 8.82) years. Nine feature variables were screened by LASSO regression, while 7 feature variables were screened by Boruta algorithm, the intersection of the two was operation time, complications, degree of airway stenosis, thermal ablation therapy, balloon dilation, and airway stent, respectively, based on this, a logistic regression prediction model was constructed.The AUC values of the training set, validation set and test set of the model were 0.928 (95% CI 0.903-0.954), 0.922 (95% CI 0.843-0.995) and 0.919 (95% CI 0.872-0.965), respectively. The calibration curve showed that the predicted results of the model were in good agreement with the actual results, and the DCA curve showed that the model had clinical application value. SHAP analysis showed that the importance of variables affecting intraoperative hypoxemia in benign central airway stenosis patients was ranked as operation time, thermal ablation therapy, degree of airway stenosis, comorbidification, balloon dilation, and airway stent. Conclusions:The Logistic regression prediction model of intraoperative hypoxemia built based on machine learning algorithm has good prediction efficiency, which is helpful to early identification of risk groups and prevention of hypoxemia.

Performing multiple tests without adjusting the test level results in a higher-than-intended overall familywise error rate(FWER).This phenomenon is known as the multiplicity problem.In this paper,we first introduced the mechanism of multiplicity problem based on the classification and characterization of clinical endpoints.Then,strategies and methods to solve the multiplicity problem were introduced,including the parallel strategy/single-step method,the sequential strategy/multistep method/stepwise method,and their combinations.The results of different analytic strategies may vary.The practical application of the above common strategies and statistical methods were introduced through the case studies of domestic and foreign investigator initiated clinical trial.Multiplicity adjustment for multiple endpoints in clinical trials can be achieved by a single strategy or a combination of strategies.Depending on the selected strategy or combination,the statistical methods and significance level(denoted as α)for each test hypothesis are determined to effectively control the multiplicity problem.

Objective:To explore the clinical features of death in children with acute encephalopathy associated with influenza and corona virus disease 2019（COVID-19）and to enhance pediatrician's understanding of this disease.Methods:Clinical data of children with influenza and COVID-19-related acute encephalopathy hospitalized in Pediatric Intensive Care Unit of Children's Hospital Affiliated to Soochow University from September 2021 to July 2023 were retrospectively analyzed.The cases were divided into survival group and death group according to outcome.The general condition，clinical manifestations，auxiliary examination and treatment between the two groups were compared and analyzed.Results:A total of 41 pediatric patients were enrolled.In the death group,there were 17 cases,including 15 cases of acute necrotizing encephalopathy (ANE); among them,there were 7 male patients and 10 female patients,with a median age of 3.50 years.Eight patients were infected with influenza A virus,3 with influenza B virus,and 6 with SARS-CoV-2.The survival group comprised 24 cases,including 10 cases of ANE; among them,there were 16 male patients and 8 female patients,with a median age of 4.33 years.Fourteen patients were infected with influenza A virus,4 with influenza B virus,and 6 with SARS-CoV-2.None of the patients in the death group has received influenza and COVID-19 vaccines within 1 year before infection.Common symptoms were fever and disturbance of consciousness in the death group，eight cases had mild cough，seven cases had convulsions ≥three times，one case had two convulsions，nine cases had only one seizure，of which five cases were epileptic status.One case had delirium before convulsions.Seventeen cases began to fall into a coma (6.50±1.50) hours after their first onset of convulsion.Two patients had secondary pulmonary infection.Nine cases showed significantly elevated interleukin-6,while 17 cases had normal cerebrospinal fluid cell counts and 14 cases had elevated protein levels.All 17 cases underwent cranial CT scans,among which 13 showed symmetric necrosis of the bilateral thalami.All patients in the death group underwent glucocorticoid and intravenous immunoglobulin pulse therapy.Eleven patients received continuous renal replacement therapy,ten patients received intrathecal dexamethasone injection,and two patients were treated with tocilizumab.One patient underwent extracorporeal membrane oxygenation.Among the eight influenza patients,neuraminidase inhibitors were first administered 48 hours after the onset of fever.None of the six patients infected with SARS-CoV-2 received nirmatrelvir/ritonavir antiviral treatment.The causes of death in 17 patients included ANE(15 cases) and secondary infections(2 cases).Compared with the survival group,the incidence of brainstem involvement,shock,and low Glasgow coma scores (GCS ≤ 4) were significantly higher in the death group(15/17 vs.2/24， χ 2=26.18， P<0.001；16/17 vs.5/24， χ 2=21.39， P<0.001；14/17 vs.5/24， χ 2=15.15， P<0.001). Conclusion:Acute encephalopathy is primarily characterized by recurrent convulsions and disturbances of consciousness.Influenza and COVID-19 are the main causes.Cranial imaging is helpful for clinical diagnosis.Involvement of the brainstem,occurrence of shock,and GCS≤4 are associated with a higher fatality rate of ANE.